Track-Before-Detect Using Expectation Maximisation - The Histogram Probabilistic Multi-hypothesis Tracker: Theory and Applications (Paperback, Softcover reprint of the original 1st ed. 2018)

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This book offers a detailed description of the histogram probabilistic multi-hypothesis tracker (H-PMHT), providing an accessible and intuitive introduction to the mathematical mechanics of H-PMHT as well as a definitive reference source for the existing literature on the method. Beginning with basic concepts, the authors then move on to address extensions of the method to a broad class of tracking problems. The latter chapters present applications using recorded data from experimental radar, sonar and video sensor systems. The book is supplemented with software that both furthers readers' understanding and acts as a toolkit for those who wish to apply the methods to their own problems.

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Product Description

This book offers a detailed description of the histogram probabilistic multi-hypothesis tracker (H-PMHT), providing an accessible and intuitive introduction to the mathematical mechanics of H-PMHT as well as a definitive reference source for the existing literature on the method. Beginning with basic concepts, the authors then move on to address extensions of the method to a broad class of tracking problems. The latter chapters present applications using recorded data from experimental radar, sonar and video sensor systems. The book is supplemented with software that both furthers readers' understanding and acts as a toolkit for those who wish to apply the methods to their own problems.

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Product Details

General

Imprint

Springer Verlag, Singapore

Country of origin

Singapore

Series

Signals and Communication Technology

Release date

December 2018

Availability

Supplier out of stock. If you add this item to your wish list we will let you know when it becomes available.

First published

2018

Authors

,

Dimensions

235 x 155mm (L x W)

Format

Paperback

Pages

352

Edition

Softcover reprint of the original 1st ed. 2018

ISBN-13

978-981-13-3971-4

Barcode

9789811339714

Categories

LSN

981-13-3971-6



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